Introduction to Evolutionary Computing
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to c...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
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| Έκδοση: | 2nd ed. 2015. |
| Σειρά: | Natural Computing Series,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Problems to Be Solved
- Evolutionary Computing: The Origins
- What Is an Evolutionary Algorithm?
- Representation, Mutation, and Recombination
- Fitness, Selection, and Population Management
- Popular Evolutionary Algorithm Variants
- Hybridisation with Other Techniques: Memetic Algorithms
- Nonstationary and Noisy Function Optimisation
- Multiobjective Evolutionary Algorithms
- Constraint Handling
- Interactive Evolutionary Algorithms
- Coevolutionary Systems
- Theory
- Evolutionary Robotics
- Parameters and Parameter Tuning
- Parameter Control
- Working with Evolutionary Algorithms
- References.